by
Amber Sinha
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published
Jan 02, 2017
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last modified
Jan 16, 2017 07:20 AM
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filed under:
Human Rights,
Big Data,
Internet Governance,
Machine Learning,
Algorithms,
New Media
In his much acclaimed book, The Filter Bubble, Eli Pariser explains how personalisation of services on the web works and laments that they are creating individual bubbles for each user, which run counter to the idea of the Internet as an inherently open place. While Pariser’s book looks at the practices of various large companies providing online services, he briefly touches upon the role of new media such as search engines and social media portals in new curation. Building upon Pariser’s unexplored argument, this article looks at the impact of algorithmic decision-making and Big Data in the context of news reporting and curation.
Located in
Internet Governance
